Software Alternatives, Accelerators & Startups

Apify VS Dlib

Compare Apify VS Dlib and see what are their differences

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Apify logo Apify

Apify is a web scraping and automation platform that can turn any website into an API.

Dlib logo Dlib

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem
  • Apify Landing page
    Landing page //
    2023-09-30

Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.

  • Dlib Landing page
    Landing page //
    2019-11-25

Apify features and specs

  • Ease of Use
    Apify provides a user-friendly interface that makes it easy for users of all technical levels to create and manage web scraping tasks.
  • Scalability
    Apify is built to handle tasks of various sizes, from small-scale projects to enterprise-level operations, making it a scalable solution.
  • Integration and API Support
    It offers extensive API support, allowing for seamless integration with other tools and systems to enhance automated workflows.
  • Customizability
    Users can customize their scraping bots (actors) with different settings and scripts to fit specific needs and requirements.
  • Cloud-based
    Being a cloud-based platform, Apify allows users to run their scraping tasks without needing local resources, which is convenient and efficient.
  • Comprehensive Documentation
    Apify provides thorough documentation and tutorials, which help users get started quickly and solve issues efficiently.
  • Community and Support
    Apify has an active community and solid customer support to assist users with their needs and enhance their overall experience.

Possible disadvantages of Apify

  • Learning Curve
    While the interface is user-friendly, there may still be a learning curve for those new to web scraping and automation.
  • Cost
    Apify can be expensive compared to other web scraping tools, particularly for extensive use cases that require high volumes of data.
  • Dependency on External Factors
    Web scraping often depends on the stability of the target websites. Changes in website structures can break scripts, requiring ongoing maintenance.
  • Performance Limitations
    The performance of cloud-based scraping tasks can be affected by network latency and other external factors beyond user control.
  • Potential Legal Issues
    Web scraping can raise legal concerns, particularly when scraping data from websites that restrict such activities in their terms of service.
  • Resource Intensity
    Complex scraping tasks can be resource-intensive, potentially requiring higher-tier subscriptions and more computing resources, driving up costs.

Dlib features and specs

  • Open Source
    Dlib is open source, which means it is free to use and contributions can be made by the community to enhance its features and performance.
  • Robust Machine Learning Tools
    Dlib offers a wide range of machine learning algorithms, and tools which are useful for various applications including facial recognition and object detection.
  • Cross-Platform Compatibility
    Dlib supports multiple platforms such as Windows, macOS, and Linux, ensuring versatility and ease of deployment across different operating systems.
  • Highly Optimized
    The library is highly optimized for performance, leveraging C++ for speed-critical components while providing Python bindings for ease of use.
  • Comprehensive Documentation
    Dlib offers extensive documentation and a variety of examples, making it easier for developers to understand how to implement its features.

Possible disadvantages of Dlib

  • Steep Learning Curve
    For beginners, understanding and leveraging the full capabilities of Dlib can be challenging due to its comprehensive and broad range of features.
  • Limited Community Support
    While not as large as some other libraries like TensorFlow or PyTorch, the community support for Dlib is more limited.
  • Lack of High-Level Features
    Compared to other more modern libraries, Dlib is sometimes criticized for lacking high-level features and user-friendly APIs.
  • Resource Intensive
    Some functionalities, particularly those related to deep learning and image processing, can be resource-intensive and require significant computational power.
  • Sparse Updates
    Dlib may not receive updates as frequently as other more actively maintained libraries, which might delay bug fixes and new feature additions.

Analysis of Apify

Overall verdict

  • Yes, Apify is considered a good choice for web scraping and automation needs due to its comprehensive features, user-friendly interface, and strong community support. It is especially beneficial for those who require efficient, large-scale data extraction and workflow automation.

Why this product is good

  • Apify is an established platform known for its robust web scraping and automation capabilities. It provides a powerful API, pre-built actors for common tasks, and allows you to create custom web scrapers with ease. The platform is scalable, supports a variety of programming languages, and offers features like scheduling, proxies, and data storage solutions. This versatility makes it a valuable tool for businesses and developers needing efficient data retrieval and workflow automation.

Recommended for

  • Developers looking for a versatile web scraping solution.
  • Businesses needing to automate data collection processes.
  • Researchers and analysts requiring extensive data from the web.
  • Marketers seeking competitive analysis through data scraping.
  • Tech enthusiasts interested in exploring web automation tools.

Apify videos

Apify product news - 2019/01/30

Dlib videos

Face Recognition with Dlib in Python

More videos:

Category Popularity

0-100% (relative to Apify and Dlib)
Web Scraping
100 100%
0% 0
Data Science And Machine Learning
Data Extraction
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apify and Dlib

Apify Reviews

Top 15 Best TinyTask Alternatives in 2022
This is another tinytask alternative. For you to link various web services and APIs, Apify has provided many web integration options. You can add data processing and customised computation processes in addition to letting the data flow between them. With the data that is freely accessible on the web, you may provide crucial insights, and easy lead creation allows you to...

Dlib Reviews

10 Python Libraries for Computer Vision
Dlib is a versatile library that excels in face detection, facial landmark detection, image alignment, and more. It offers pre-trained models and tools for various machine learning tasks, making it a valuable asset for computer vision projects requiring accurate facial analysis.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for developing complex software in C++ to solve real-world problems. Dlib is widely used in several sectors such as academia, government, and industry. It offers support for several computer vision algorithms such as object detection, face detection, and clustering.
Source: www.uubyte.com

Social recommendations and mentions

Based on our record, Apify should be more popular than Dlib. It has been mentiond 46 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apify mentions (46)

  • Google's News API has been gone since 2016, and people still search for it
    That runs News Scraper on Apify, which is the same forty lines plus the parts that are Tedious rather than hard: both feeds, the nested publisher element, the date Normalisation, and deduplication. - Source: dev.to / 8 days ago
  • WHOIS is gone, RDAP replaced it, and a 404 does not mean what you think
    That runs an Apify Actor I maintain, Domain Scraper, because the Tedious parts are the RDAP bootstrap, the vcard unpacking and the provider Fingerprinting rather than the HTTP call. If you would rather do it yourself, Https://rdap.org/domain/ is the whole API and it needs no key. - Source: dev.to / 8 days ago
  • How I Turned Canadian Open Government Data Into a Live Licence-Verification Site + API (Build Log, 2026)
    Data collection: Apify actors, one per source, that scrape the open-data endpoints and normalize them. Quebec RBQ ships a daily bulk CSV (inside a 10.8 MB zip, ~924k rows that dedupe to ~54k active licences). Ontario HCRA has no bulk file โ€” it's an internal JSON API behind the public registry. - Source: dev.to / 27 days ago
  • How to Track US Startup Funding Rounds in Real Time (Before TechCrunch Writes About Them)
    Create a free Apify account and grab your API token from Settings โ†’ API & Integrations. - Source: dev.to / about 1 month ago
  • I built a Claude Code skill that finds customers, not competitors, on Reddit & LinkedIn
    BYOK. It runs on your own Apify token. No shared keys, no lock-in, no licensing chokepoint โ€” a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space. - Source: dev.to / about 2 months ago
View more

Dlib mentions (17)

  • 32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
    The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: over 3 years ago
  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 3 years ago
  • What programming language should I learn after C++ for Audio DSP?
    If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 3 years ago
  • Exponential vs linear progress?
    The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 3 years ago
  • Flutter OpenCV and dlib for face detector & recognition
    The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Apify and Dlib, you can also consider the following products

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

OpenCV - OpenCV is the world's biggest computer vision library

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

Face Recognition - Face Recognition is an app that is used for testing different facial recognition methods such as Caffe and Neural Networks to name a few.